A combination of variable selection and data mining techniques for high-dimensional statistical modelling.
Christos KoukouvinosKalliopi MylonaChristina ParpoulaPublished in: Int. J. Inf. Decis. Sci. (2013)
Keyphrases
- variable selection
- high dimensional
- data mining techniques
- input variables
- cross validation
- stochastic search
- linear models
- historical data
- dimension reduction
- model selection
- high dimensional data
- group lasso
- data points
- data mining
- dimensionality reduction
- knowledge discovery
- association rules
- data mining methods
- feature selection
- statistical analysis
- statistical inference
- number of input variables
- data warehouse
- feature space
- object recognition
- pattern recognition
- ensemble selection
- learning algorithm